Fetching the paper…
Reading the bibliography…
Automatically generated reports from medical images promise to improve the workflow of radiologists.
Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al. 2020a · 1901
Earlier work this paper cites.
Show and tell: A neural image caption generator
Oriol Vinyals, Alexander Toshev, Samy Bengio, and Dumitru Erhan. 2015 · 2015
Earlier work this paper cites.
Learning to read chest x-rays: Recurrent neural cascade model for automated image annotation
Hoo-Chang Shin, Kirk Roberts, Le Lu, Dina Demner-Fushman, Jianhua Yao, and Ronald M Summers. 2016 · 2016
Earlier work this paper cites.
Densely connected convolutional networks
Gao Huang, Zhuang Liu, Laurens Van Der Maaten, and Kilian Q Weinberger. 2017 · 2017
Earlier work this paper cites.
On the automatic generation of medical imaging reports
Baoyu Jing, Pengtao Xie, and Eric Xing. 2017 · 2017
Earlier work this paper cites.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Earlier work this paper cites.
Automatic caption generation for medical images
Imane Allaouzi, M Ben Ahmed, Badr Benamrou, and Mustapha Ouardouz. 2018 · 2018
Earlier work this paper cites.
Improving language understanding by generative pre-training
Alec Radford, Karthik Narasimhan, Tim Salimans, Ilya Sutskever, et al. 2018 · 2018
Earlier work this paper cites.
Tienet: Text-image embedding network for common thorax disease classification and reporting in chest x-rays
Xiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, and Ronald M Summers. 2018 · 2018
Earlier work this paper cites.
Mimic-cxr, a de-identified publicly available database of chest radiographs with free-text reports
Alistair E.W. Johnson, Tom J. Pollard, Seth J. Berkowitz, Nathaniel R. Greenbaum, Matthew P. Lungren, Deng Chih-ying, Roger G. Mark, and Stephen Horng. 2019 · 2019
Earlier work this paper cites.
Knowledge-driven encode, retrieve, paraphrase for medical image report generation
Christy Y Li, Xiaodan Liang, Zhiting Hu, and Eric P Xing. 2019 · 2019
Earlier work this paper cites.
Entity, relation, and event extraction with contextualized span representations
David Wadden, Ulme Wennberg, Yi Luan, and Hannaneh Hajishirzi. 2019 · 2019
Cited alongside, same era.
Automatic generation of medical imaging diagnostic report with hierarchical recurrent neural network
Changchang Yin, Buyue Qian, Jishang Wei, Xiaoyu Li, Xianli Zhang, Yang Li, and Qinghua Zheng. 2019 · 2019
Cited alongside, same era.
Automatic radiology report generation based on multi-view image fusion and medical concept enrichment
Jianbo Yuan, Haofu Liao, Rui Luo, and Jiebo Luo. 2019 · 2019
Cited alongside, same era.
Language models are few-shot learners
Tom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel M. Ziegler, Jeffrey Wu, Clemens Winter, Christopher Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei. 2020b · 2020
Cited alongside, same era.
Generating radiology reports via memory-driven transformer
Automatic generation of medical report with knowledge graph
Haifeng Zhao, Jie Chen, Lili Huang, Tingting Yang, Wanhai Ding, and Chuanfu Li. 2021 · 2021
Later among the works it cites.
Palm: Scaling language modeling with pathways
Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, et al. 2022 · 2022
Later among the works it cites.
Improving the factual correctness of radiology report generation with semantic rewards
Jean-Benoit Delbrouck, Pierre Chambon, Christian Bluethgen, Emily Tsai, Omar Almusa, and Curtis P Langlotz. 2022 · 2022
Later among the works it cites.
A medical semantic-assisted transformer for radiographic report generation
Zhanyu Wang, Mingkang Tang, Lei Wang, Xiu Li, and Luping Zhou. 2022b · 2022
Later among the works it cites.
Knowledge matters: Chest radiology report generation with general and specific knowledge
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Zhihong Chen, Yan Song, Tsung-Hui Chang, and Xiang Wan. 2020 · 2020
Cited alongside, same era.
Gpt-3: Its nature, scope, limits, and consequences
Luciano Floridi and Massimo Chiriatti. 2020 · 2020
Cited alongside, same era.
How to create a great radiology report
Michael P Hartung, Ian C Bickle, Frank Gaillard, and Jeffrey P Kanne. 2020 · 2020
Cited alongside, same era.
When radiology report generation meets knowledge graph
Yixiao Zhang, Xiaosong Wang, Ziyue Xu, Qihang Yu, Alan Yuille, and Daguang Xu. 2020 · 2020
Cited alongside, same era.
Radgraph: Extracting clinical entities and relations from radiology reports
Saahil Jain, Ashwin Agrawal, Adriel Saporta, Steven Q. H. Truong, Du Nguyen Duong, Tan Bui, Pierre J. Chambon, Yuhao Zhang, Matthew P. Lungren, Andrew Y. Ng, Curtis P. Langlotz, and Pranav Rajpurkar. 2021 · 2021
Cited alongside, same era.
Exploring and distilling posterior and prior knowledge for radiology report generation
Fenglin Liu, Xian Wu, Shen Ge, Wei Fan, and Yuexian Zou. 2021 · 2021
Cited alongside, same era.
Automated generation of accurate \ \backslash & fluent medical x-ray reports
Hoang TN Nguyen, Dong Nie, Taivanbat Badamdorj, Yujie Liu, Yingying Zhu, Jason Truong, and Li Cheng. 2021 · 2021
Cited alongside, same era.
Hao Li, Yuping Wu, Viktor Schlegel, Riza Batista-Navarro, Thanh-Tung Nguyen, Abhinav Ramesh Kashyap, Xiaojun Zeng, Daniel Beck, Stefan Winkler, and Goran Nenadic. 2023a
Cited in the paper.
Shuxin Yang, Xian Wu, Shen Ge, S Kevin Zhou, and Li Xiao. 2022 · 2022
Later among the works it cites.
Evaluating progress in automatic chest x-ray radiology report generation
Feiyang Yu, Mark Endo, Rayan Krishnan, Ian Pan, Andy Tsai, Eduardo Pontes Reis, Eduardo Kaiser Ururahy Nunes Fonseca, Henrique Min Ho Lee, Zahra Shakeri Hossein Abad, Andrew Y Ng, et al. 2022 · 2022
Later among the works it cites.
Leveraging gpt-4 for post hoc transformation of free-text radiology reports into structured reporting: a multilingual feasibility study
Lisa C Adams, Daniel Truhn, Felix Busch, Avan Kader, Stefan M Niehues, Marcus R Makowski, and Keno K Bressem. 2023 · 2023
Closest in time.
Rohan Anil, Andrew M Dai, Orhan Firat, Melvin Johnson, Dmitry Lepikhin, Alexandre Passos, Siamak Shakeri, Emanuel Taropa, Paige Bailey, Zhifeng Chen, et al. 2023 · 2023
Closest in time.
Llama: Open and efficient foundation language models
Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, et al. 2023 · 2023
Closest in time.
Chatcad: Interactive computer-aided diagnosis on medical image using large language models
Sheng Wang, Zihao Zhao, Xi Ouyang, Qian Wang, and Dinggang Shen. 2023 · 2023
Closest in time.
Show, attend and tell: Neural image caption generation with visual attention
Kelvin Xu, Jimmy Ba, Ryan Kiros, Kyunghyun Cho, Aaron Courville, Ruslan Salakhudinov, Rich Zemel, and Yoshua Bengio. 2015 · 2057
Closest in time.